Early Career Trainee - Data Science and Business Analytics

As an Early Career Trainee in Data Science and Business Analytics, you will play an integral role within our Global Sales Operations team, gaining hands-on experience in the application of various methodologies used in analytical and data-driven techniques to optimize operations and enhance decision-making processes. This opportunity is ideal for recent graduates or individuals with minimal professional experience who are passionate about using data science and analytics to drive business outcomes in a global sales environment. You will collaborate with senior team members and cross-functional teams and contribute to ongoing projects.

Data Collection & Preparation:

• Assist in gathering and preparing data from multiple sources for analysis.
• Clean, transform, and preprocess raw data to ensure accuracy and consistency.
• Explore datasets to identify trends, patterns, and potential anomalies.

Data Analysis & Insights:

• Support the team in performing exploratory data analysis (EDA) and hypothesis testing.
• Utilize statistical and machine learning techniques to uncover insights from data.
• Generate reports summarizing findings with clear visualizations and actionable insights and recommendations.
• Assist in building and validating predictive models using statistical and machine learning methods.
• Learn and apply relevant algorithms (e.g., regression, classification, clustering) to solve business problems.

Business Analytics:

• Help generate business performance reports, dashboards, and metrics to track KPIs.
• Support business teams with data-driven recommendations to enhance operational efficiency.
• Contribute to decision-making processes through analytical insights into business operations.

Collaboration & Learning:

• Work closely with cross-functional teams (e.g., Sales, Finance, Services, Engineering) to understand business needs and deliver data-driven solutions.
• Participate in training sessions and mentorship to improve technical skills in data science and analytics tools.
• Stay up to date with industry trends, new technologies, and best practices in data science.

Documentation & Reporting:

• Document workflows, business requirements, methodologies, and project outcomes.
• Create presentations and reports to communicate findings effectively to non-technical stakeholders.
• Assist in preparing and presenting regular updates on project progress.

Qualifications required:

Education: Bachelor’s degree in Data Science, Business Analytics, or a related field.

Technical Skills:

• Knowledge, internship, or academic projects related to programming languages like Python, VB, or R.
• Basic understanding of machine learning techniques (e.g., regression, clustering, classification).
• Basic understanding of statistical analysis techniques and RDBMS concepts.
• Knowledge with data analysis tools (e.g., MS Excel, SQL, MySQL, PostgreSQL).
• Experience, internship, or academic projects related to data visualization tools (e.g., Tableau, Power BI).

Desired qualifications:

• Strong analytical and problem-solving abilities.
• Excellent communication skills with the ability to explain complex concepts in simple terms.
• Ability to work independently and as part of a team.
• Eagerness to learn and adapt to new tools, technologies, and methodologies.

Relocation Assistance Provided: No

Required Experience: Intern